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Linear Transformations with NumPy Guide by Aashutosh Poudel is a document available to read on EtoBox.

What is Linear Transformations with NumPy Guide about?

Linear transformations are functions between vector spaces that preserve vector addition and scalar multiplication, represented by matrices. Key properties include the kernel and image, which provide insights into the structure of the transformation. Common examples include scaling, rotation, and reflection, with composition of transformations corresponding to matrix multiplication.

Author

Aashutosh Poudel

Language

EN